All Topics (May 13 through October 29)

Wednesday, September 24

• 10:00 AM Key Derivation From Noisy Sources With More Errors Than Entropy: Leo Reyzin
• Learning Object Detectors with Weak Supervision: Kun He

Friday, September 26

• 10:30 AM Exploration versus Exploitation: Behzad Golshan (Data Management Group)

Monday, September 29

• 11:00 AM Network Functions Virtualization
• 2:00 PM Structured Learning in Computer Science: Ziming Zhang, BU (IVC Seminar)

Wednesday, October 1

• 10:00 AM Static analysis on mobile applications for security and privacy: Manuel Egele, BU
• 1:00 PM Embedded Systems Security: Using Formal Methods and Probabilistic Memory Models: Mark Reynolds, Research Fellow, BU (iBench Seminar)

Friday, October 3

• 10:30 AM Modeling Dynamical Processes on Complex Networks: Nicola Perra, NEU MoBs Lab (Data Management Group)
• 3:00 PM The Limits of a Simple Model of Active Self-Assembly: Andrew Winslow, Tufts (Theory Seminar)

Monday, October 6

• 11:00 AM Programming Routing Policies for Video Traffic: Yuefeng Wang (NRG Seminar)
• 2:00 PM Parsing Videos of Actions with Segmental Grammars: Hamed Pirsiavash, MIT (IVC Seminar)

Friday, October 10

• 10:30 AM Curing Epidemics on Networks: Kimon Drakopoulos, MIT
• 12:00 PM Quest-V: A Virtualized Separation Kernel for Mixed Criticality Systems: Ye Li, PhD Proposal

Tuesday, October 14

• 11:00 AM Resource Allocation Mechanisms for Predictable Excecution of Brokered Workloads in Virtualized Environments: Chrstine Bassem, BU (NRG Seminar)

Wednesday, October 15

• 10:00 AM Deriving Robust Keys from Physical Unclonable Functions: Merielle Spain, MIT Lincoln Labs

Thursday, October 16

• 1:00 PM Static and Dynamic Analysis of ARM machine code Mark Reynolds, Research Fellow, BU

Friday, October 17

• 10:30 AM Locality-Sensitive Hashing and Beyond: Ilya Razenshteyn, MIT
• 2:00 PM Multidimensional $\epsilon$-Approximate Agreement and Computability in Byzantine Systems: Hammurabi Mendes, Brown University

Monday, October 20

• 11:00 AM Balancing Accountability and Privacy in the Network: Presented by Ugur Kaynar, BU (NRG Seminar)
• 2:00 PM Automatic Discovery of Visual Elements in Image Collections: Sobhan Parizi, Brown University (IVC Seminar)

Wednesday, October 22

• 9:00 AM Public-Coin Differing-Inputs Obfuscation and Its Applications: Omkant Pandey, UIUC

Friday, October 24

• 4:00 PM Resource Aware ML: Jan Hoffman, Yale University

Monday, October 27

• 11:00 AM Identifying and Analyzing High Impact Routing Events with PathMiner: Giovanni Comarela (NRG Seminar)
• 2:00 PM Learnersourcing: Improving Video Learning with Large-Scale Learning Interaction Data: Juho Kim, MIT CSAIL (IVC Seminar)

Wednesday, October 29

• 10:00 AM Pretty Bad Privacy: Pitfalls of DNS Encryption: Haya Shulman, TU Darmstat